{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/samlg/.conda/envs/ms-gen/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import yaml\n",
    "from ms_pred.common.plot_utils import *\n",
    "import pickle\n",
    "import json\n",
    "import copy\n",
    "\n",
    "from collections import defaultdict\n",
    "\n",
    "# Import sem calc\n",
    "from scipy.stats import sem\n",
    "\n",
    "set_style()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_names = [\"nist20\", \"canopus_train_public\"]\n",
    "res_folder = f\"../results/figs_scarf/scarf_weave_acc/\"\n",
    "res_folder = Path(res_folder)\n",
    "res_folder.mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "names = [\n",
    "    \"CFM-ID\",\n",
    "    \"3DMolMS\",\n",
    "    \"FixedVocab\",\n",
    "    \"NEIMS (FFN)\",\n",
    "    \"NEIMS (GNN)\",\n",
    "    \"SCARF\",\n",
    "]\n",
    "\n",
    "dataset_to_res = {}\n",
    "for dataset_name in dataset_names:\n",
    "    yaml_files = defaultdict(lambda : [])\n",
    "    for seed in [1,2,3]:    \n",
    "        results_files = [\n",
    "            f\"../results/cfm_id_{dataset_name}/split_1/preds/pred_eval.yaml\",\n",
    "            f\"../results/molnetms_baseline_{dataset_name}/split_1_rnd{seed}/preds/pred_eval.yaml\",\n",
    "            f\"../results/graff_ms_baseline_{dataset_name}/split_1_rnd{seed}/preds/pred_eval.yaml\",\n",
    "            f\"../results/ffn_baseline_{dataset_name}/split_1_rnd{seed}/preds/pred_eval.yaml\",\n",
    "            f\"../results/gnn_baseline_{dataset_name}/split_1_rnd{seed}/preds/pred_eval.yaml\",\n",
    "            f\"../results/scarf_inten_{dataset_name}/split_1_rnd{seed}/preds/pred_eval.yaml\",\n",
    "        ]\n",
    "\n",
    "        for i, j in zip(names, results_files):\n",
    "            yaml_files[i].append(yaml.safe_load(open(j, \"r\")))\n",
    "    dataset_to_res[dataset_name] = yaml_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_to_time = {\n",
    "    \"CFM-ID\": \"../results/cfm_id_nist20_timer/time_out.json\",\n",
    "    \"3DMolMS\": \"../results/molnetms_baseline_nist20/split_1_rnd1/time_out.json\",\n",
    "    \"FixedVocab\": \"../results/graff_ms_baseline_nist20/split_1_rnd1/time_out.json\",\n",
    "    \"NEIMS (FFN)\": \"../results/ffn_baseline_nist20/split_1_rnd1/time_out.json\",\n",
    "    \"NEIMS (GNN)\": \"../results/gnn_baseline_nist20/split_1_rnd1/time_out.json\",\n",
    "    \"SCARF\": \"../results/scarf_inten_nist20/split_1_rnd1/time_out.json\",\n",
    "}\n",
    "name_to_seconds = {\n",
    "    i: yaml.safe_load(open(j, \"r\"))[\"time (s)\"] for i, j in name_to_time.items()\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['avg_cos_sim', 'avg_cos_sim_zero_pep', 'avg_coverage', 'avg_frac_valid', 'avg_len_pred', 'avg_len_targ', 'avg_mse', 'avg_overlap_coeff', 'data_folder', 'dataset', 'individuals', 'sem_cos_sim', 'sem_cos_sim_zero_pep', 'sem_coverage', 'sem_frac_valid', 'sem_len_pred', 'sem_len_targ', 'sem_mse', 'sem_overlap_coeff', 'std_cos_sim', 'std_cos_sim_zero_pep', 'std_coverage', 'std_frac_valid', 'std_len_pred', 'std_len_targ', 'std_mse', 'std_overlap_coeff'])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_to_res[\"nist20\"][\"SCARF\"][0].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_df = []\n",
    "for dataset_name, yaml_files in dataset_to_res.items():\n",
    "    for k, v in yaml_files.items():\n",
    "        new_entry = {\n",
    "            \"Method\": k,\n",
    "            \"Cosine sim.\": np.mean([vv['avg_cos_sim'] for vv in v]),\n",
    "            \"Cosine sim. sem\": sem([vv['avg_cos_sim'] for vv in v])   ,  ###v[\"sem_cos_sim\"],\n",
    "\n",
    "            \"Cosine sim. (no PEP)\": np.mean([vv['avg_cos_sim_zero_pep'] for vv in v]),\n",
    "            \"Cosine sim. sem (no PEP)\": sem([vv['avg_cos_sim_zero_pep'] for vv in v])   ,  ###v[\"sem_cos_sim\"],\n",
    "\n",
    "            \"Coverage\": np.mean([vv['avg_coverage'] for vv in v]),\n",
    "            \"Coverage sem\": sem([vv['avg_coverage'] for vv in v])   ,  ###v[\"sem_cos_sim\"],\n",
    "            \n",
    "            \"Valid\": np.mean([vv['avg_frac_valid'] for vv in v]),\n",
    "            \"Valid sem\": sem([vv['avg_frac_valid'] for vv in v])   ,  ###v[\"sem_cos_sim\"],\n",
    "\n",
    "            \"Time (s)\": name_to_seconds[k],\n",
    "            \"Dataset\": dataset_name,\n",
    "        }\n",
    "        out_df.append(new_entry)\n",
    "out_df = pd.DataFrame(out_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Dataset</th>\n",
       "      <th colspan=\"3\" halign=\"left\">nist20</th>\n",
       "      <th colspan=\"4\" halign=\"left\">canopus_train_public</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Valid</th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Valid</th>\n",
       "      <th>Time (s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CFM-ID</th>\n",
       "      <td>0.412</td>\n",
       "      <td>0.278</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.235</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1114.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3DMolMS</th>\n",
       "      <td>0.510</td>\n",
       "      <td>0.734</td>\n",
       "      <td>0.945</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.507</td>\n",
       "      <td>0.919</td>\n",
       "      <td>3.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FixedVocab</th>\n",
       "      <td>0.704</td>\n",
       "      <td>0.788</td>\n",
       "      <td>0.997</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.998</td>\n",
       "      <td>5.519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (FFN)</th>\n",
       "      <td>0.617</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.948</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.524</td>\n",
       "      <td>0.949</td>\n",
       "      <td>3.907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (GNN)</th>\n",
       "      <td>0.694</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.943</td>\n",
       "      <td>4.921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCARF</th>\n",
       "      <td>0.726</td>\n",
       "      <td>0.807</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.552</td>\n",
       "      <td>1.000</td>\n",
       "      <td>21.061</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Dataset          nist20                 canopus_train_public                  \\\n",
       "            Cosine sim. Coverage  Valid          Cosine sim. Coverage  Valid   \n",
       "CFM-ID            0.412    0.278  1.000                0.377    0.235  1.000   \n",
       "3DMolMS           0.510    0.734  0.945                0.394    0.507  0.919   \n",
       "FixedVocab        0.704    0.788  0.997                0.568    0.563  0.998   \n",
       "NEIMS (FFN)       0.617    0.746  0.948                0.491    0.524  0.949   \n",
       "NEIMS (GNN)       0.694    0.780  0.947                0.521    0.547  0.943   \n",
       "SCARF             0.726    0.807  1.000                0.536    0.552  1.000   \n",
       "\n",
       "Dataset                \n",
       "             Time (s)  \n",
       "CFM-ID       1114.652  \n",
       "3DMolMS         3.491  \n",
       "FixedVocab      5.519  \n",
       "NEIMS (FFN)     3.907  \n",
       "NEIMS (GNN)     4.921  \n",
       "SCARF          21.061  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{table}\n",
      "\\centering\n",
      "\\caption{Spectra prediction accuracy}\n",
      "\\label{tab:spec_acc}\n",
      "\\begin{tabular}{lrrrrrrr}\n",
      "\\toprule\n",
      "Dataset & \\multicolumn{3}{l}{nist20} & \\multicolumn{4}{l}{canopus\\_train\\_public} \\\\\n",
      "{} & Cosine sim. & Coverage &  Valid &          Cosine sim. & Coverage &  Valid &  Time (s) \\\\\n",
      "\\midrule\n",
      "CFM-ID      &       0.412 &    0.278 &  1.000 &                0.377 &    0.235 &  1.000 &  1114.652 \\\\\n",
      "3DMolMS     &       0.510 &    0.734 &  0.945 &                0.394 &    0.507 &  0.919 &     3.491 \\\\\n",
      "FixedVocab  &       0.704 &    0.788 &  0.997 &                0.568 &    0.563 &  0.998 &     5.519 \\\\\n",
      "NEIMS (FFN) &       0.617 &    0.746 &  0.948 &                0.491 &    0.524 &  0.949 &     3.907 \\\\\n",
      "NEIMS (GNN) &       0.694 &    0.780 &  0.947 &                0.521 &    0.547 &  0.943 &     4.921 \\\\\n",
      "SCARF       &       0.726 &    0.807 &  1.000 &                0.536 &    0.552 &  1.000 &    21.061 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\end{table}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2257064/2326748670.py:40: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  latex = out_df_pivot_sorted.to_latex(\n"
     ]
    }
   ],
   "source": [
    "out_df_pivot = out_df.pivot_table(\n",
    "    index=\"Method\",\n",
    "    columns=\"Dataset\",\n",
    "    values=[\n",
    "        \"Cosine sim.\",\n",
    "        \"Coverage\",\n",
    "        \"Valid\",\n",
    "        \"Time (s)\",\n",
    "    ],\n",
    ")\n",
    "out_df_pivot_sorted = out_df_pivot.loc[names]\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.swaplevel(0, 1, axis=1).round(3)\n",
    "\n",
    "metric_order = {\"Cosine sim.\": 1, \"Coverage\": 2, \"Valid\": 3, \"Time (s)\": 4}\n",
    "metric_order = [\"Cosine sim.\", \"Coverage\", \"Valid\", \"Time (s)\"]\n",
    "dataset_order = {\n",
    "    \"nist20\": 1,\n",
    "    \"canopus_train_public\": 2,\n",
    "}\n",
    "dataset_order = [\"nist20\", \"canopus_train_public\"]\n",
    "\n",
    "\n",
    "\n",
    "# Create a new MultiIndex with the custom sort order\n",
    "new_index = pd.MultiIndex.from_product(\n",
    "    [dataset_order, metric_order], names=[\"Dataset\", \"Metric\"]\n",
    ")\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.loc[:, new_index]\n",
    "\n",
    "# Drop time\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.drop(\n",
    "    columns=[(\"nist20\", \"Time (s)\")]\n",
    ")\n",
    "\n",
    "# Sort columns and make time last\n",
    "out_df_pivot_sorted.index.name = None\n",
    "display(out_df_pivot_sorted)\n",
    "latex = out_df_pivot_sorted.to_latex(\n",
    "    caption=\"Spectra prediction accuracy\", label=\"tab:spec_acc\"\n",
    ")\n",
    "print(latex)\n",
    "\n",
    "# Output to file\n",
    "with open(res_folder / \"scarf_weave_acc.tex\", \"w\") as f:\n",
    "    f.write(latex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiIndex([('canopus_train_public', 'Cosine sim.'),\n",
      "            (              'nist20', 'Cosine sim.'),\n",
      "            ('canopus_train_public',    'Coverage'),\n",
      "            (              'nist20',    'Coverage'),\n",
      "            ('canopus_train_public',    'Time (s)'),\n",
      "            (              'nist20',    'Time (s)'),\n",
      "            ('canopus_train_public',       'Valid'),\n",
      "            (              'nist20',       'Valid')],\n",
      "           names=['Dataset', None])\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Dataset</th>\n",
       "      <th colspan=\"3\" halign=\"left\">nist20</th>\n",
       "      <th colspan=\"4\" halign=\"left\">canopus_train_public</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Valid</th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Valid</th>\n",
       "      <th>Time (s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CFM-ID</th>\n",
       "      <td>$0.412 \\pm 0.000$</td>\n",
       "      <td>$0.278 \\pm 0.000$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$0.377 \\pm 0.000$</td>\n",
       "      <td>$0.235 \\pm 0.000$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$1114.7$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3DMolMS</th>\n",
       "      <td>$0.510 \\pm 0.000$</td>\n",
       "      <td>$0.734 \\pm 0.001$</td>\n",
       "      <td>$0.94 \\pm 0.001$</td>\n",
       "      <td>$0.394 \\pm 0.002$</td>\n",
       "      <td>$0.507 \\pm 0.001$</td>\n",
       "      <td>$0.92 \\pm 0.000$</td>\n",
       "      <td>$3.5$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FixedVocab</th>\n",
       "      <td>$0.704 \\pm 0.000$</td>\n",
       "      <td>$0.788 \\pm 0.000$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$0.568 \\pm 0.002$</td>\n",
       "      <td>$0.563 \\pm 0.001$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$5.5$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (FFN)</th>\n",
       "      <td>$0.617 \\pm 0.000$</td>\n",
       "      <td>$0.746 \\pm 0.001$</td>\n",
       "      <td>$0.95 \\pm 0.001$</td>\n",
       "      <td>$0.491 \\pm 0.002$</td>\n",
       "      <td>$0.524 \\pm 0.001$</td>\n",
       "      <td>$0.95 \\pm 0.000$</td>\n",
       "      <td>$3.9$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (GNN)</th>\n",
       "      <td>$0.694 \\pm 0.000$</td>\n",
       "      <td>$0.780 \\pm 0.000$</td>\n",
       "      <td>$0.95 \\pm 0.001$</td>\n",
       "      <td>$0.521 \\pm 0.002$</td>\n",
       "      <td>$0.547 \\pm 0.003$</td>\n",
       "      <td>$0.94 \\pm 0.001$</td>\n",
       "      <td>$4.9$</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCARF</th>\n",
       "      <td>$0.726 \\pm 0.001$</td>\n",
       "      <td>$0.807 \\pm 0.000$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$0.536 \\pm 0.007$</td>\n",
       "      <td>$0.552 \\pm 0.008$</td>\n",
       "      <td>$1.00 \\pm 0.000$</td>\n",
       "      <td>$21.1$</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Dataset                 nist20                                       \\\n",
       "                   Cosine sim.           Coverage             Valid   \n",
       "CFM-ID       $0.412 \\pm 0.000$  $0.278 \\pm 0.000$  $1.00 \\pm 0.000$   \n",
       "3DMolMS      $0.510 \\pm 0.000$  $0.734 \\pm 0.001$  $0.94 \\pm 0.001$   \n",
       "FixedVocab   $0.704 \\pm 0.000$  $0.788 \\pm 0.000$  $1.00 \\pm 0.000$   \n",
       "NEIMS (FFN)  $0.617 \\pm 0.000$  $0.746 \\pm 0.001$  $0.95 \\pm 0.001$   \n",
       "NEIMS (GNN)  $0.694 \\pm 0.000$  $0.780 \\pm 0.000$  $0.95 \\pm 0.001$   \n",
       "SCARF        $0.726 \\pm 0.001$  $0.807 \\pm 0.000$  $1.00 \\pm 0.000$   \n",
       "\n",
       "Dataset     canopus_train_public                                       \\\n",
       "                     Cosine sim.           Coverage             Valid   \n",
       "CFM-ID         $0.377 \\pm 0.000$  $0.235 \\pm 0.000$  $1.00 \\pm 0.000$   \n",
       "3DMolMS        $0.394 \\pm 0.002$  $0.507 \\pm 0.001$  $0.92 \\pm 0.000$   \n",
       "FixedVocab     $0.568 \\pm 0.002$  $0.563 \\pm 0.001$  $1.00 \\pm 0.000$   \n",
       "NEIMS (FFN)    $0.491 \\pm 0.002$  $0.524 \\pm 0.001$  $0.95 \\pm 0.000$   \n",
       "NEIMS (GNN)    $0.521 \\pm 0.002$  $0.547 \\pm 0.003$  $0.94 \\pm 0.001$   \n",
       "SCARF          $0.536 \\pm 0.007$  $0.552 \\pm 0.008$  $1.00 \\pm 0.000$   \n",
       "\n",
       "Dataset                \n",
       "             Time (s)  \n",
       "CFM-ID       $1114.7$  \n",
       "3DMolMS         $3.5$  \n",
       "FixedVocab      $5.5$  \n",
       "NEIMS (FFN)     $3.9$  \n",
       "NEIMS (GNN)     $4.9$  \n",
       "SCARF          $21.1$  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{table}\n",
      "\\centering\n",
      "\\caption{Spectra prediction accuracy}\n",
      "\\label{tab:spec_acc}\n",
      "\\begin{tabular}{llllllll}\n",
      "\\toprule\n",
      "Dataset & \\multicolumn{3}{l}{nist20} & \\multicolumn{4}{l}{canopus_train_public} \\\\\n",
      "{} &        Cosine sim. &           Coverage &             Valid &          Cosine sim. &           Coverage &             Valid &  Time (s) \\\\\n",
      "\\midrule\n",
      "CFM-ID      &  $0.412 \\pm 0.000$ &  $0.278 \\pm 0.000$ &  $1.00 \\pm 0.000$ &    $0.377 \\pm 0.000$ &  $0.235 \\pm 0.000$ &  $1.00 \\pm 0.000$ &  $1114.7$ \\\\\n",
      "3DMolMS     &  $0.510 \\pm 0.000$ &  $0.734 \\pm 0.001$ &  $0.94 \\pm 0.001$ &    $0.394 \\pm 0.002$ &  $0.507 \\pm 0.001$ &  $0.92 \\pm 0.000$ &     $3.5$ \\\\\n",
      "FixedVocab  &  $0.704 \\pm 0.000$ &  $0.788 \\pm 0.000$ &  $1.00 \\pm 0.000$ &    $0.568 \\pm 0.002$ &  $0.563 \\pm 0.001$ &  $1.00 \\pm 0.000$ &     $5.5$ \\\\\n",
      "NEIMS (FFN) &  $0.617 \\pm 0.000$ &  $0.746 \\pm 0.001$ &  $0.95 \\pm 0.001$ &    $0.491 \\pm 0.002$ &  $0.524 \\pm 0.001$ &  $0.95 \\pm 0.000$ &     $3.9$ \\\\\n",
      "NEIMS (GNN) &  $0.694 \\pm 0.000$ &  $0.780 \\pm 0.000$ &  $0.95 \\pm 0.001$ &    $0.521 \\pm 0.002$ &  $0.547 \\pm 0.003$ &  $0.94 \\pm 0.001$ &     $4.9$ \\\\\n",
      "SCARF       &  $0.726 \\pm 0.001$ &  $0.807 \\pm 0.000$ &  $1.00 \\pm 0.000$ &    $0.536 \\pm 0.007$ &  $0.552 \\pm 0.008$ &  $1.00 \\pm 0.000$ &    $21.1$ \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\end{table}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2257064/1776311997.py:59: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  latex = out_df_pivot_sorted.to_latex(\n"
     ]
    }
   ],
   "source": [
    "out_df_temp = out_df.copy()\n",
    "# rewrite cosine sim column with f\"cos sim \\pm cosine sem using list comprehension\n",
    "out_df_temp[\"Cosine sim.\"] = [\n",
    "    rf\"${i:.3f} \\pm {j:.3f}$\"\n",
    "    for i, j in zip(out_df_temp[\"Cosine sim.\"], out_df_temp[\"Cosine sim. sem\"])\n",
    "]\n",
    "# Rewrite coverage column with f\"coverage \\pm coverage sem using list comprehension\n",
    "out_df_temp[\"Coverage\"] = [\n",
    "    rf\"${i:.3f} \\pm {j:.3f}$\"\n",
    "    for i, j in zip(out_df_temp[\"Coverage\"], out_df_temp[\"Coverage sem\"])\n",
    "]\n",
    "# Same for valid\n",
    "out_df_temp[\"Valid\"] = [\n",
    "    rf\"${i:.2f} \\pm {j:.3f}$\"\n",
    "    for i, j in zip(out_df_temp[\"Valid\"], out_df_temp[\"Valid sem\"])\n",
    "]\n",
    "out_df_temp[\"Time (s)\"] = [rf\"${i:.1f}$\" for i in out_df_temp[\"Time (s)\"]]\n",
    "\n",
    "out_df_pivot = out_df_temp.pivot_table(\n",
    "    index=\"Method\",\n",
    "    columns=\"Dataset\",\n",
    "    values=[\n",
    "        \"Cosine sim.\",\n",
    "        \"Coverage\",\n",
    "        \"Valid\",\n",
    "        \"Time (s)\",\n",
    "    ],\n",
    "    aggfunc=lambda x: \"&\".join(x),\n",
    ")\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot.loc[names]\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.swaplevel(0, 1, axis=1).round(3)\n",
    "\n",
    "metric_order = {\"Cosine sim.\": 1, \"Coverage\": 2, \"Valid\": 3, \"Time (s)\": 4}\n",
    "metric_order = [\"Cosine sim.\", \"Coverage\", \"Valid\", \"Time (s)\"]\n",
    "dataset_order = {\n",
    "    \"nist20\": 2,\n",
    "    \"canopus_train_public\": 1,\n",
    "}\n",
    "dataset_order = [\"nist20\", \"canopus_train_public\"]\n",
    "\n",
    "\n",
    "# Create a new MultiIndex with the custom sort order\n",
    "new_index = pd.MultiIndex.from_product(\n",
    "    [dataset_order, metric_order], names=[\"Dataset\", \"Metric\"]\n",
    ")\n",
    "print(out_df_pivot_sorted.columns)\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.loc[:, new_index]\n",
    "\n",
    "# Drop time\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.drop(\n",
    "    columns=[(\"nist20\", \"Time (s)\")]\n",
    ")\n",
    "\n",
    "# Sort columns and make time last\n",
    "out_df_pivot_sorted.index.name = None\n",
    "display(out_df_pivot_sorted)\n",
    "latex = out_df_pivot_sorted.to_latex(\n",
    "    caption=\"Spectra prediction accuracy\", label=\"tab:spec_acc\", escape=False\n",
    ")\n",
    "print(latex)\n",
    "\n",
    "# Output to file \n",
    "with open(res_folder / \"scarf_weave_acc2.tex\", \"w\") as f:\n",
    "    f.write(latex)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Directly compare precursor and no precursor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "names_temp = copy.deepcopy(names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Dataset</th>\n",
       "      <th colspan=\"2\" halign=\"left\">nist20</th>\n",
       "      <th colspan=\"2\" halign=\"left\">canopus_train_public</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Cosine sim. (no PEP)</th>\n",
       "      <th>Cosine sim.</th>\n",
       "      <th>Cosine sim. (no PEP)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CFM-ID</th>\n",
       "      <td>0.412</td>\n",
       "      <td>0.289</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3DMolMS</th>\n",
       "      <td>0.510</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FixedVocab</th>\n",
       "      <td>0.704</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (FFN)</th>\n",
       "      <td>0.617</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEIMS (GNN)</th>\n",
       "      <td>0.694</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCARF</th>\n",
       "      <td>0.726</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.466</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Dataset          nist20                      canopus_train_public  \\\n",
       "            Cosine sim. Cosine sim. (no PEP)          Cosine sim.   \n",
       "CFM-ID            0.412                0.289                0.377   \n",
       "3DMolMS           0.510                0.517                0.394   \n",
       "FixedVocab        0.704                0.637                0.568   \n",
       "NEIMS (FFN)       0.617                0.557                0.491   \n",
       "NEIMS (GNN)       0.694                0.620                0.521   \n",
       "SCARF             0.726                0.663                0.536   \n",
       "\n",
       "Dataset                           \n",
       "            Cosine sim. (no PEP)  \n",
       "CFM-ID                     0.326  \n",
       "3DMolMS                    0.390  \n",
       "FixedVocab                 0.505  \n",
       "NEIMS (FFN)                0.454  \n",
       "NEIMS (GNN)                0.477  \n",
       "SCARF                      0.466  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{table}\n",
      "\\centering\n",
      "\\caption{Spectra prediction accuracy}\n",
      "\\label{tab:spec_acc}\n",
      "\\begin{tabular}{lrrrr}\n",
      "\\toprule\n",
      "Dataset & \\multicolumn{2}{l}{nist20} & \\multicolumn{2}{l}{canopus\\_train\\_public} \\\\\n",
      "{} & Cosine sim. & Cosine sim. (no PEP) &          Cosine sim. & Cosine sim. (no PEP) \\\\\n",
      "\\midrule\n",
      "CFM-ID      &       0.412 &                0.289 &                0.377 &                0.326 \\\\\n",
      "3DMolMS     &       0.510 &                0.517 &                0.394 &                0.390 \\\\\n",
      "FixedVocab  &       0.704 &                0.637 &                0.568 &                0.505 \\\\\n",
      "NEIMS (FFN) &       0.617 &                0.557 &                0.491 &                0.454 \\\\\n",
      "NEIMS (GNN) &       0.694 &                0.620 &                0.521 &                0.477 \\\\\n",
      "SCARF       &       0.726 &                0.663 &                0.536 &                0.466 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\\end{table}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2256513/3717354200.py:27: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  latex = out_df_pivot_sorted.to_latex(\n"
     ]
    }
   ],
   "source": [
    "out_df_pivot = out_df.pivot_table(\n",
    "    index=\"Method\", columns=\"Dataset\", values=[\"Cosine sim.\", \"Cosine sim. (no PEP)\"]\n",
    ")\n",
    "out_df_pivot_sorted = out_df_pivot.loc[names]\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.swaplevel(0, 1, axis=1).round(3)\n",
    "\n",
    "metric_order = {\"Cosine sim.\": 1, \"Coverage\": 2, \"Valid\": 3, \"Time (s)\": 4}\n",
    "metric_order = [\"Cosine sim.\", \"Cosine sim. (no PEP)\"]\n",
    "dataset_order = {\n",
    "    \"nist20\": 1,\n",
    "    \"canopus_train_public\": 2,\n",
    "}\n",
    "dataset_order = [\"nist20\", \"canopus_train_public\"]\n",
    "\n",
    "\n",
    "# Create a new MultiIndex with the custom sort order\n",
    "new_index = pd.MultiIndex.from_product(\n",
    "    [dataset_order, metric_order], names=[\"Dataset\", \"Metric\"]\n",
    ")\n",
    "\n",
    "out_df_pivot_sorted = out_df_pivot_sorted.loc[:, new_index]\n",
    "\n",
    "# Sort columns and make time last\n",
    "out_df_pivot_sorted.index.name = None\n",
    "display(out_df_pivot_sorted)\n",
    "latex = out_df_pivot_sorted.to_latex(\n",
    "    caption=\"Spectra prediction accuracy\", label=\"tab:spec_acc\"\n",
    ")\n",
    "print(latex)\n",
    "\n",
    "# Output to file\n",
    "with open(res_folder / \"scarf_weave_acc_pep.tex\", \"w\") as f:\n",
    "    f.write(latex)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Acc by various property subsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_df = []\n",
    "for dataset_name, yaml_files in dataset_to_res.items():\n",
    "    for k, v in yaml_files.items():\n",
    "        individuals = [ind for vv in v for ind in vv[\"individuals\"]]\n",
    "        for ind in individuals:\n",
    "            ind[\"method\"] = k\n",
    "            ind[\"dataset\"] = dataset_name\n",
    "            out_df.append(ind)\n",
    "out_df = pd.DataFrame(out_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1161.29x357.616 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1161.29x357.616 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "color_dict = method_colors\n",
    "methods = [*names, \"ghost_method\"]\n",
    "bins = np.array(\n",
    "    [\n",
    "        \"0 - 200\",\n",
    "        \"200 - 300\",\n",
    "        \"300 - 400\",\n",
    "        \"400 - 500\",\n",
    "        \"500 - 600\",\n",
    "        \"600 - 700\",\n",
    "        \"700 - 2000\",\n",
    "    ]\n",
    ")\n",
    "for dataset, sub_df in out_df.groupby(\"dataset\"):\n",
    "    figsize = (3, 0.9)\n",
    "    metric = \"cos_sim\"\n",
    "    method_col = \"method\"\n",
    "    groupby_col = \"mass_bin\"\n",
    "    # Plot a groupbed barplot where each method has a color (color_dict) and x axis is the groupby col\n",
    "    fig = plt.figure(figsize=figsize, dpi=300)\n",
    "    ax = fig.add_subplot(111)\n",
    "    x_values = np.arange(len(pd.unique(sub_df[groupby_col])))\n",
    "    shift_val = 1 / (len(methods))\n",
    "    shift_bw = np.arange(len(bins)).repeat(len(methods))\n",
    "    # Plot scarf mean accuracy in dotted horizontal line\n",
    "    scarf_mean_acc = sub_df[sub_df[method_col] == \"SCARF\"][metric].mean()\n",
    "    ax.axhline(\n",
    "        y=scarf_mean_acc,\n",
    "        color=color_dict[\"SCARF\"],\n",
    "        linestyle=\"dotted\",\n",
    "        linewidth=0.5,\n",
    "        zorder=0,\n",
    "    )\n",
    "\n",
    "    # Loop through each method and plot a grouped bar\n",
    "    for idx, method in enumerate(methods):\n",
    "        if method == \"ghost_method\":\n",
    "            continue\n",
    "        y_values = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].mean()\n",
    "        )\n",
    "        std_values = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].std()\n",
    "        )\n",
    "        counts = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].count()\n",
    "        )\n",
    "\n",
    "        y_values = y_values[bins]\n",
    "        counts = counts[bins]\n",
    "        std_values = std_values[bins] * 1.96 / np.sqrt(counts)\n",
    "        ax.bar(\n",
    "            x_values + idx * shift_val,  # Adjust the spacing between bars if needed\n",
    "            y_values,\n",
    "            # yerr=std_values,  # Add error bars representing the standard deviation\n",
    "            capsize=0.6,  # Adjust cap size of the error bars\n",
    "            error_kw={\"elinewidth\": 0.5, \"capthick\": 0.5},  # Adjust error bar thickness\n",
    "            width=shift_val,  # Adjust the bar width if needed\n",
    "            label=method,\n",
    "            color=color_dict.get(\n",
    "                method, \"gray\"\n",
    "            ),  # Use gray if method color is not defined\n",
    "            edgecolor=\"black\",  # Add a black edge to the bars\n",
    "            linewidth=0.3,\n",
    "            # Make err size smaller\n",
    "        )\n",
    "\n",
    "    # Set labels and title\n",
    "    ax.set_xlabel(\"Compound mass (Da)\")\n",
    "    ax.set_ylabel(\"Cosine sim.\")\n",
    "    ax.set_xticks(x_values + (len(methods) - 1) * shift_val / 2)\n",
    "    ax.set_xticklabels(\n",
    "        bins, rotation=20, ha=\"right\"\n",
    "    )  # Use index of group_means as x tick labels\n",
    "    # Use 3 columns/two rows and poostiion in top of chart inset\n",
    "    ax.legend(\n",
    "        loc=\"upper center\",\n",
    "        borderaxespad=0.0,\n",
    "        frameon=False,\n",
    "        ncol=3,\n",
    "        bbox_to_anchor=(0.5, 1.0),\n",
    "    )\n",
    "    ax.set_ylim([0, 1.1])\n",
    "    set_size(*figsize, ax)\n",
    "\n",
    "    plt.savefig(\n",
    "        res_folder / f\"cosine_sim_{dataset}_mass.pdf\",\n",
    "        bbox_inches=\"tight\",\n",
    "        dpi=300,\n",
    "        transparent=True,\n",
    "    )\n",
    "\n",
    "    # Plot a barplot of sub_df where"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accuracy by chemical class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ikey_to_class_files = [\n",
    "    f\"../results/dataset_analyses/{i}/ikey_to_classes.p\" for i in dataset_names\n",
    "]\n",
    "ikey_to_class = {\n",
    "    k: v for f in ikey_to_class_files for k, v in pickle.load(open(f, \"rb\")).items()\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_df = []\n",
    "for _, row in out_df.iterrows():\n",
    "    new_dict = row.to_dict()\n",
    "    ikey = new_dict[\"inchi\"]\n",
    "    classif_out = ikey_to_class[ikey]\n",
    "    for chem_class in classif_out.get(\"superclass_results\", []):\n",
    "        temp_dict = dict(**new_dict, chem_class=chem_class)\n",
    "        new_df.append(temp_dict)\n",
    "class_df = pd.DataFrame(new_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1161.29x357.616 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1161.29x357.616 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_classes = 10\n",
    "color_dict = method_colors\n",
    "methods = [*names, \"ghost_method\"]\n",
    "for dataset, sub_df in class_df.groupby(\"dataset\"):\n",
    "    figsize = (3, 0.9)\n",
    "    metric = \"cos_sim\"\n",
    "    method_col = \"method\"\n",
    "    groupby_col = \"chem_class\"\n",
    "    # Get 10 most common classes\n",
    "    classes = (\n",
    "        sub_df.groupby(groupby_col)[metric]\n",
    "        .count()\n",
    "        .sort_values(ascending=False)\n",
    "        .head(num_classes)\n",
    "        .index\n",
    "    )\n",
    "\n",
    "    # Plot a groupbed barplot where each method has a color (color_dict) and x axis is the groupby col\n",
    "    fig = plt.figure(figsize=figsize, dpi=300)\n",
    "    ax = fig.add_subplot(111)\n",
    "    x_values = np.arange(len(classes))\n",
    "    shift_val = 1 / (len(methods))\n",
    "    shift_bw = np.arange(len(classes)).repeat(len(methods))\n",
    "\n",
    "    # Plot scarf mean accuracy in dotted horizontal line\n",
    "    scarf_mean_acc = sub_df[sub_df[method_col] == \"SCARF\"][metric].mean()\n",
    "    ax.axhline(\n",
    "        y=scarf_mean_acc,\n",
    "        color=color_dict[\"SCARF\"],\n",
    "        linestyle=\"dotted\",\n",
    "        linewidth=0.5,\n",
    "        zorder=0,\n",
    "    )\n",
    "\n",
    "    # Loop through each method and plot a grouped bar\n",
    "    for idx, method in enumerate(methods):\n",
    "        if method == \"ghost_method\":\n",
    "            continue\n",
    "        y_values = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].mean()\n",
    "        )\n",
    "        std_values = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].std()\n",
    "        )\n",
    "        counts = (\n",
    "            sub_df[sub_df[method_col] == method].groupby(groupby_col)[metric].count()\n",
    "        )\n",
    "\n",
    "        y_values = y_values[classes]\n",
    "        counts = counts[classes]\n",
    "        std_values = std_values[classes] * 1.96 / np.sqrt(counts)\n",
    "        ax.bar(\n",
    "            x_values + idx * shift_val,  # Adjust the spacing between bars if needed\n",
    "            y_values,\n",
    "            # yerr=std_values,  # Add error bars representing the standard deviation\n",
    "            capsize=0.6,  # Adjust cap size of the error bars\n",
    "            error_kw={\"elinewidth\": 0.5, \"capthick\": 0.5},  # Adjust error bar thickness\n",
    "            width=shift_val,  # Adjust the bar width if needed\n",
    "            label=method,\n",
    "            color=color_dict.get(\n",
    "                method, \"gray\"\n",
    "            ),  # Use gray if method color is not defined\n",
    "            edgecolor=\"black\",  # Add a black edge to the bars\n",
    "            linewidth=0.3,\n",
    "            # Make err size smaller\n",
    "        )\n",
    "\n",
    "    # Set labels and title\n",
    "    ax.set_xlabel(\"Compound superclass\")\n",
    "    ax.set_ylabel(\"Cosine sim.\")\n",
    "    ax.set_xticks(x_values + (len(methods) - 1) * shift_val / 2)\n",
    "    ax.set_xticklabels(\n",
    "        classes, rotation=40, ha=\"right\"\n",
    "    )  # Use index of group_means as x tick labels\n",
    "    # Use 3 columns/two rows and poostiion in top of chart inset\n",
    "    ax.legend(\n",
    "        loc=\"upper center\",\n",
    "        borderaxespad=0.0,\n",
    "        frameon=False,\n",
    "        ncol=3,\n",
    "        bbox_to_anchor=(0.5, 1.0),\n",
    "    )\n",
    "    ax.set_ylim([0, 1.1])\n",
    "    set_size(*figsize, ax)\n",
    "\n",
    "    plt.savefig(\n",
    "        res_folder / f\"cosine_sim_{dataset}_chem_class.pdf\",\n",
    "        bbox_inches=\"tight\",\n",
    "        dpi=300,\n",
    "        transparent=True,\n",
    "    )\n",
    "\n",
    "    # Plot a barplot of sub_df where"
   ]
  },
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   "cell_type": "code",
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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